Currículum Vitæ

Basics

Name Kaleem Ahmad
Position Data & AI Engineer
Email imkaleemahmad@gmail.com
Summary Computer Science graduate and Data & AI Engineer with a strong focus on computer vision, generative AI, and multimodal learning. Passionate about developing explainable, reliable, and human-centered intelligent systems.

Work

  • 2024.12 - Present
    Data Scientist
    Demolytics Ltd
    Develop transformer-based GANs and VAEs for large-scale synthetic data generation, ensuring GDPR compliance and high statistical fidelity across 20M+ records. Lead Xero API integration to automate financial data simulation for client demos and internal testing.
    • Achieved 97% statistical accuracy in synthetic data validation.
    • Automated synthetic organization setup for financial analytics.
  • 2023.12 - 2024.11
    Associate Data Analyst
    Data Dive Ltd
    Developed data pipelines using Python and Spark for data collection, cleaning, and processing. Built machine learning models for forecasting and anomaly detection, achieving over 90% accuracy. Created interactive dashboards for non-technical stakeholders.
    • Deployed Streamlit and Power BI dashboards for business reporting.
    • Enhanced forecasting accuracy and operational efficiency.
  • 2023.05 - 2025.08
    Teaching Assistant
    University of Bradford
    Delivered online labs in Python, data visualization, and machine learning for postgraduate courses (OIM7507, OIM7508). Mentored students in ML modeling using scikit-learn, TensorFlow, and PyTorch, ensuring conceptual and practical understanding.
    • Supported course delivery for over 100 MSc students remotely.
    • Reviewed and optimized teaching materials for clarity and accuracy.
  • 2022.09 - 2023.12
    Junior AI Engineer
    BritAnalytics
    Designed and trained machine learning models for sales prediction and behavioral analytics, improving forecasting accuracy to 89%. Automated ETL workflows and developed dashboards to support data-driven business decisions.
    • Reduced data cleanup time by 45% through ETL automation.
    • Delivered high-accuracy predictive models for SME clients.

Education

  • 2020.10 - 2024.09

    Peshawar, Pakistan

    Bachelor of Science
    Institute of Computer Sciences & Information Technology, The University of Agriculture
    Computer Science

Projects

  • 2025.03 - 2025.05
    SegFormer-based Intracranial Artery Segmentation (SIAS)
    Fine-tuned SegFormer-B0 for neurovascular segmentation in CT angiography, achieving 66% mIoU and 70% Dice scores from limited data.
    • Enabled efficient segmentation using a lightweight transformer backbone.
  • 2024.02 - 2024.08
    Prompt-Driven Image Analysis
    Developed a multimodal NLP-vision framework integrating GroundingDINO, SAM, and Stable Diffusion for prompt-based image detection, segmentation, and inpainting.
    • Published as an arXiv Preprint (arXiv:2509.08489) and featured by Valoris Research.
  • 2023.12 - 2024.02
    Real-Time 3D Facial Reconstruction from Images
    Developed a CNN-PCA pipeline using AFLW2000-3D and 3DDFA for real-time 3D facial reconstruction, visualized via WebGL Studio.
    • Optimized inference for single-image reconstruction and real-time streaming.
  • 2023.10 - 2023.12
    Automated Nystagmus Detection from Video
    Built a real-time computer vision pipeline for eye-movement tracking and oscillation classification, supporting early neurological screening.
    • Achieved subtype detection for pendular, jerk, and gaze-evoked nystagmus.
  • 2023.08 - 2023.09
    Early Ocular Pathology Detection via Scleral Analysis
    Applied SAM for scleral segmentation and redness quantification (RAP, MRL metrics) to enable non-invasive early detection of ocular hypertension.
    • Demonstrated explainable computer vision in medical imaging applications.
  • 2022.07 - 2023.02
    Interactive Digital Authoring Platform for E-Learning
    Developed a modular in-browser editor with real-time collaboration and multimedia integration for educators using a decoupled Core + Sandbox architecture.
    • Enabled live editing with auto-save and version control for e-learning content.

Awards

  • 2025.03
    Runner-Up - University of Porto Research Studentship Award
    Faculty of Economics, University of Porto, Portugal
    Ranked 2nd among international candidates for the EU-funded project 'PROD-AI: Predictive AI/ML Solutions for Procurement and Production Management' (COMPETE2030-FEDER-01474600).
  • 2023.06
    National Laptop Award Recipient
    Higher Education Commission (HEC), Pakistan
    Selected on academic merit under the Prime Minister's Youth Laptop Scheme 2023, ranking in the top 20% of the national Computer Science cohort.

Certificates

Skills

AI & Machine Learning
PyTorch · TensorFlow · Keras
GANs · VAEs · Diffusion Models
Transformers · Computer Vision
Natural Language Processing
Reinforcement Learning & Agent Tooling
Data Science & Engineering
NumPy · Pandas · Spark
Batch & Streaming ETL
SQL · NoSQL · Data Warehousing
PostgreSQL · MongoDB
Hadoop Ecosystem Tooling
Visualization
Matplotlib · Seaborn · Plotly
Streamlit Prototyping
Power BI & Tableau Dashboards
Programming & Development
Python · R · Java · C++
JavaScript · TypeScript
Node.js & Express APIs
Scientific Writing with LaTeX
Cloud & DevOps
AWS · Azure · GCP
Containerization with Docker
Kubernetes Orchestration
CI/CD Automation (Jenkins, GitHub Actions)
Infrastructure Automation with Ansible

Languages

English
Proficient (IELTS Academic 7.0 - CEFR Level: C1)
Urdu
Native Speaker
Pashto
Mother Tongue

Interests

Research & Innovation
Computer Vision
Medical Imaging
Generative AI
Multimodal Learning
Explainable AI
Data Science